Dear all:
   
  I am comparing the PLS outputs of R and SAS for the following data set:
   
  Y  x1  x2  x3
  3 6 2 2
  3 1 5 5
  4 7 4 1
  5 6 5 6
  2 4 3 2
  8 5 0 9
   
  where Y is the dependent variable and x1, x2, x3 are the independent variables.  I found several PLS algorithms in R (NIPALS,SIMPLS,KERNEL PLS).  SAS has SIMPLS and NIPALS.
   
  The following are the NIPALS calculations of the regression coefficients for the above data using 2 principal components:
   
  Using R:
   
  x1  0.4002324
x2 -0.2679829
x3  0.5684680

   
  Using SAS:
   
  x1 0.4671608452
  x2 -.1537662492
  x3 0.6090024992
   
  Why is the discrepancy very large?  I observed that SAS and Minitab have the same output, but the R output is very different. Using the SIMPLS algorithm also produced R and SAS outputs that are different.
   
  Any clarification on this matter will be greatly appreciated.
   
  Sincerely,
  Kyle Rogers
   
   
   
   
   
    

       
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